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Re:AI solves IMO problems at silver medal level by visarga on Thursday July 25, 2024 @05:33PM (#41073639)
Search can go from a random init model to beating humans at Go. That is not interpolation.

- Search allows exploration of the game tree, potentially finding novel strategies.

- Learning compresses the insights gained from search into a more efficient policy.

- This compressed policy then guides future searches more effectively.

Evolution is also a form of search, and it is open-ended. AlphaProof solved IMO problems, those are chosen to be out of distribution, simple imitation can't solve them. Scientists do (re)search, they find novel insights nobody else discovered before. What I want to say is that search is on a whole different level than what neural nets do, they can only interpolate their training data, search pushes outside of the known data distribution.

It's actually a combo of search+learning that is necessary, learning is just the little brother of search, it compresses novel insights into the model. You can think of training a neural net also as search - the best parameters that would fit the training set.

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